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Question Bank Coverage — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Question Bank Coverage — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes numeric row ordering and secondary-measure weighted mean for question bank coverage records (item_count, objective_count) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Question bank coverage — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied question bank coverage records (item_count, objective_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports per call: (1) a numeric ordering of the submitted rows by the selected field, and (2) a weighted mean of the secondary measure across all rows. Results are computed locally from supplied data with no external lookups.
Example use cases
Course group coverage ranking
“I have 50 rows of question bank data across two course groups, each with a date, item_count, and objective_count — can you rank them numerically by item_count and give me a weighted mean of objective_count for the whole set?”
Objective coverage weighted average
“Here are 120 question bank coverage records with item counts and objective counts per course group and date — please compute numeric row ordering and a weighted mean using objective_count as the measure field.”
Multi-group item count analysis
“I need to analyze question bank coverage across group-a and group-b for Q4 2026 — can you order the 80 rows numerically and calculate the secondary-measure weighted mean for item_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-18-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 question bank coverage records and need both a numeric row ordering and a weighted mean computed from supplied data — without any live data lookup or external service. Ideal for education analytics workflows where you already have the data and need fast, deterministic computation of rank order and weighted averages across course groups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, course_group, date, item_count, objective_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Null values in item_count or objective_count may affect weighted mean computation
- Invalid field enum value (not item_count or objective_count) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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